Phonocardiography Data Compression Using Discrete Wavelet Transform

Telemedicine and other remote early intervention techniques play a vital role to improve the cardiac patient survival rate and decrease their hospitalized rate. Phonocardiography (PCG) is a widely used diagnostic tool to quickly identify the heart condition. It provides supplement diagnostic informa...

Full description

Saved in:
Bibliographic Details
Main Authors: Chowdhury, M., Poudel, K., Hu, Y.
Format: Conference Proceeding
Language:English
Subjects:
Data compression
Discrete wavelet transforms
Electrocardiography
Encryption
Heart
Phonocardiography
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page 03
container_issue
container_start_page 01
container_title
container_volume
creator Chowdhury, M.
Poudel, K.
Hu, Y.
description Telemedicine and other remote early intervention techniques play a vital role to improve the cardiac patient survival rate and decrease their hospitalized rate. Phonocardiography (PCG) is a widely used diagnostic tool to quickly identify the heart condition. It provides supplement diagnostic information to Electrocardiogram (ECG) as it can detect the structural defects of the heart that ECG cannot identify. Therefore, continuous PCG monitoring is of great interests for remote patient monitoring [1] [2]. However, 24 hours online monitoring generates a large amount of data to be transferred and stored at healthcare facilities. Moreover, end-to-end encryption is also required to share the data without compromising privacy or security. So, the data compression and encryption are necessary for the continuous monitoring of the PCG signal. But, very little research has been done on the compression of the PCG signal and the compression of the ECG signal is widely studied. This paper describes a PCG signal compression and encryption method which is suitable for the wireless cardiac patient monitoring applications.
doi_str_mv 10.1109/SPMB.2018.8615617
format conference_proceeding
fullrecord <record><control><sourceid>ieee_CHZPO</sourceid><recordid>TN_cdi_ieee_primary_8615617</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>8615617</ieee_id><sourcerecordid>8615617</sourcerecordid><originalsourceid>FETCH-LOGICAL-i175t-1dba559b83170feb753c6cf3088cd21ebbd37562de0943004f3aba3d7e58ae143</originalsourceid><addsrcrecordid>eNotz09LwzAYgPEoCM65DyBe8gU68ybNnx61cypMHLiht5E0b7fI2pSkCPv2Htzpuf3gIeQO2ByAVQ-f6_enOWdg5kaBVKAvyA1IYZSsQKlLMuGlFoUG9X1NZjn_MMY450yrakLq9SH2sbHJh7hPdjic6MKOltaxGxLmHGJPtzn0e7oIuUk4Iv2yv3jEkW6S7XMbU3dLrlp7zDg7d0q2y-dN_VqsPl7e6sdVEUDLsQDvrJSVMwI0a9FpKRrVtIIZ03gO6JwXWirukVWlYKxshXVWeI3SWIRSTMn9vxsQcTek0Nl02p2fxR91RkuS</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Phonocardiography Data Compression Using Discrete Wavelet Transform</title><source>IEEE Xplore All Conference Series</source><creator>Chowdhury, M. ; Poudel, K. ; Hu, Y.</creator><creatorcontrib>Chowdhury, M. ; Poudel, K. ; Hu, Y.</creatorcontrib><description>Telemedicine and other remote early intervention techniques play a vital role to improve the cardiac patient survival rate and decrease their hospitalized rate. Phonocardiography (PCG) is a widely used diagnostic tool to quickly identify the heart condition. It provides supplement diagnostic information to Electrocardiogram (ECG) as it can detect the structural defects of the heart that ECG cannot identify. Therefore, continuous PCG monitoring is of great interests for remote patient monitoring [1] [2]. However, 24 hours online monitoring generates a large amount of data to be transferred and stored at healthcare facilities. Moreover, end-to-end encryption is also required to share the data without compromising privacy or security. So, the data compression and encryption are necessary for the continuous monitoring of the PCG signal. But, very little research has been done on the compression of the PCG signal and the compression of the ECG signal is widely studied. This paper describes a PCG signal compression and encryption method which is suitable for the wireless cardiac patient monitoring applications.</description><identifier>EISSN: 2473-716X</identifier><identifier>EISBN: 1538659166</identifier><identifier>EISBN: 9781538659168</identifier><identifier>DOI: 10.1109/SPMB.2018.8615617</identifier><language>eng</language><publisher>IEEE</publisher><subject>Data compression ; Discrete wavelet transforms ; Electrocardiography ; Encryption ; Heart ; Phonocardiography</subject><ispartof>2018 IEEE Signal Processing in Medicine and Biology Symposium (SPMB), 2018, p.01-03</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/8615617$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,23909,23910,25118,27902,54530,54907</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/8615617$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Chowdhury, M.</creatorcontrib><creatorcontrib>Poudel, K.</creatorcontrib><creatorcontrib>Hu, Y.</creatorcontrib><title>Phonocardiography Data Compression Using Discrete Wavelet Transform</title><title>2018 IEEE Signal Processing in Medicine and Biology Symposium (SPMB)</title><addtitle>SPMB</addtitle><description>Telemedicine and other remote early intervention techniques play a vital role to improve the cardiac patient survival rate and decrease their hospitalized rate. Phonocardiography (PCG) is a widely used diagnostic tool to quickly identify the heart condition. It provides supplement diagnostic information to Electrocardiogram (ECG) as it can detect the structural defects of the heart that ECG cannot identify. Therefore, continuous PCG monitoring is of great interests for remote patient monitoring [1] [2]. However, 24 hours online monitoring generates a large amount of data to be transferred and stored at healthcare facilities. Moreover, end-to-end encryption is also required to share the data without compromising privacy or security. So, the data compression and encryption are necessary for the continuous monitoring of the PCG signal. But, very little research has been done on the compression of the PCG signal and the compression of the ECG signal is widely studied. This paper describes a PCG signal compression and encryption method which is suitable for the wireless cardiac patient monitoring applications.</description><subject>Data compression</subject><subject>Discrete wavelet transforms</subject><subject>Electrocardiography</subject><subject>Encryption</subject><subject>Heart</subject><subject>Phonocardiography</subject><issn>2473-716X</issn><isbn>1538659166</isbn><isbn>9781538659168</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2018</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotz09LwzAYgPEoCM65DyBe8gU68ybNnx61cypMHLiht5E0b7fI2pSkCPv2Htzpuf3gIeQO2ByAVQ-f6_enOWdg5kaBVKAvyA1IYZSsQKlLMuGlFoUG9X1NZjn_MMY450yrakLq9SH2sbHJh7hPdjic6MKOltaxGxLmHGJPtzn0e7oIuUk4Iv2yv3jEkW6S7XMbU3dLrlp7zDg7d0q2y-dN_VqsPl7e6sdVEUDLsQDvrJSVMwI0a9FpKRrVtIIZ03gO6JwXWirukVWlYKxshXVWeI3SWIRSTMn9vxsQcTek0Nl02p2fxR91RkuS</recordid><startdate>201812</startdate><enddate>201812</enddate><creator>Chowdhury, M.</creator><creator>Poudel, K.</creator><creator>Hu, Y.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201812</creationdate><title>Phonocardiography Data Compression Using Discrete Wavelet Transform</title><author>Chowdhury, M. ; Poudel, K. ; Hu, Y.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-1dba559b83170feb753c6cf3088cd21ebbd37562de0943004f3aba3d7e58ae143</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Data compression</topic><topic>Discrete wavelet transforms</topic><topic>Electrocardiography</topic><topic>Encryption</topic><topic>Heart</topic><topic>Phonocardiography</topic><toplevel>online_resources</toplevel><creatorcontrib>Chowdhury, M.</creatorcontrib><creatorcontrib>Poudel, K.</creatorcontrib><creatorcontrib>Hu, Y.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Xplore</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Chowdhury, M.</au><au>Poudel, K.</au><au>Hu, Y.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Phonocardiography Data Compression Using Discrete Wavelet Transform</atitle><btitle>2018 IEEE Signal Processing in Medicine and Biology Symposium (SPMB)</btitle><stitle>SPMB</stitle><date>2018-12</date><risdate>2018</risdate><spage>01</spage><epage>03</epage><pages>01-03</pages><eissn>2473-716X</eissn><eisbn>1538659166</eisbn><eisbn>9781538659168</eisbn><abstract>Telemedicine and other remote early intervention techniques play a vital role to improve the cardiac patient survival rate and decrease their hospitalized rate. Phonocardiography (PCG) is a widely used diagnostic tool to quickly identify the heart condition. It provides supplement diagnostic information to Electrocardiogram (ECG) as it can detect the structural defects of the heart that ECG cannot identify. Therefore, continuous PCG monitoring is of great interests for remote patient monitoring [1] [2]. However, 24 hours online monitoring generates a large amount of data to be transferred and stored at healthcare facilities. Moreover, end-to-end encryption is also required to share the data without compromising privacy or security. So, the data compression and encryption are necessary for the continuous monitoring of the PCG signal. But, very little research has been done on the compression of the PCG signal and the compression of the ECG signal is widely studied. This paper describes a PCG signal compression and encryption method which is suitable for the wireless cardiac patient monitoring applications.</abstract><pub>IEEE</pub><doi>10.1109/SPMB.2018.8615617</doi><tpages>3</tpages></addata></record>
fulltext fulltext_linktorsrc
identifier EISSN: 2473-716X
ispartof 2018 IEEE Signal Processing in Medicine and Biology Symposium (SPMB), 2018, p.01-03
issn 2473-716X
language eng
recordid cdi_ieee_primary_8615617
source IEEE Xplore All Conference Series
subjects Data compression
Discrete wavelet transforms
Electrocardiography
Encryption
Heart
Phonocardiography
title Phonocardiography Data Compression Using Discrete Wavelet Transform
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-28T13%3A33%3A39IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_CHZPO&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Phonocardiography%20Data%20Compression%20Using%20Discrete%20Wavelet%20Transform&rft.btitle=2018%20IEEE%20Signal%20Processing%20in%20Medicine%20and%20Biology%20Symposium%20(SPMB)&rft.au=Chowdhury,%20M.&rft.date=2018-12&rft.spage=01&rft.epage=03&rft.pages=01-03&rft.eissn=2473-716X&rft_id=info:doi/10.1109/SPMB.2018.8615617&rft.eisbn=1538659166&rft.eisbn_list=9781538659168&rft_dat=%3Cieee_CHZPO%3E8615617%3C/ieee_CHZPO%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-i175t-1dba559b83170feb753c6cf3088cd21ebbd37562de0943004f3aba3d7e58ae143%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=8615617&rfr_iscdi=true